Data Science Manager, Oncology Diagnostics - Scotland

JR United Kingdom; Scotland; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A pioneering healthtech company is seeking a Data Science Manager in Oncology Diagnostics to lead AI and machine learning strategies for early cancer detection. This high-impact role involves managing a team, ensuring compliance with medical standards, and driving innovation in medical AI. Ideal candidates will have an advanced degree and proven experience in healthcare AI/ML projects.

Qualifications

• Proven experience leading AI/ML projects in healthcare or diagnostics.
• Strong background in Python and machine learning toolchains.
• Experience with QMS or regulated environments is a plus.

Responsibilities

• Lead a team developing ML/AI models for clinical data.
• Own the lifecycle of AI/ML projects from data acquisition to deployment.
• Ensure model quality and regulatory readiness.

Skills

Python

Machine Learning

Data Acquisition

Cross-functional Collaboration

Education

Advanced degree in computer science, bioinformatics, engineering, or related field

Tools

MLflow

PyTest

GitHub

Job description

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Data Science Manager, Oncology Diagnostics - Scotland, scotland

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Client:

Location:

scotland, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

25.05.2025

Expiry Date:

09.07.2025

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Job Description:

We are partnering with a pioneering healthtech company at the intersection of advanced diagnostics, data science, and clinical innovation. This UK-based leadership role will shape AI and machine learning strategy for early cancer detection, helping transform how we identify disease at its most treatable stage.

Responsibilities

• Lead a growing team of data scientists developing ML/AI models for real-world clinical data
• Own the end-to-end lifecycle of AI/ML projects — from data acquisition to deployment
• Collaborate with lab, regulatory, and product teams to align on technical and clinical priorities
• Champion innovation in medical AI, staying current with emerging tools, frameworks, and methodologies
• Ensure model quality and regulatory readiness in compliance with medical device standards

Qualifications

• Advanced degree or equivalent experience in computer science, bioinformatics, engineering, or related field
• Proven experience leading AI/ML projects in healthcare, life sciences, or diagnostics
• Strong background in Python and common machine learning toolchains (e.g. MLflow, PyTest, GitHub)
• Excellent communication skills for cross-functional collaboration and regulatory documentation
• Based in the UK with the ability to work in a hybrid model; experience with QMS or regulated environments (e.g. ISO13485) is a plus

This is a high-impact role in a mission-driven company where data science directly supports patient outcomes. If you're passionate about translating complex data into life-saving insights, we'd love to hear from you.